Historical documents (in Chinese) about the GPCR (Thanks Comrade RC MR HR etc.)

针对Steam饰品搬砖手动选择商品的利润率计算工具。

优化版本的京东茅台抢购神器

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

📚 免费的计算机编程类中文书籍，欢迎投稿

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

A curated list of neural network pruning resources.

A curated list of neural architecture search (NAS) resources.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

A faster pytorch implementation of faster r-cnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

Count the FLOPs of your PyTorch model.

Pretrained EfficientNet, MobileNetV3 V2 and V1, MNASNet A1 and B1, FBNet, ChamNet, Single-Path NAS

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

mobilenetv3 with pytorch，provide pre-train model

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

《神经网络与深度学习》 Neural Network and Deep Learning

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders' (CVPR 2019)

LisGAN, Leveraging the Invariant Side of Generative Zero-Shot Learning, CVPR 2019

Automated bot software for interacting with Steam Trade

C++ Primer 5 answers

Zero-Shot Visual Recognition using Semantic-Preserving Adversarial Embedding Networks

A curated list of papers, code and resources pertaining to zero shot learning

《剑指Offer》第二版源代码

Code for model presented on our paper accepted on European Conference on Computer Vision 2018.